Yue Wang

Computer Vision and Pattern Recognition · Neural Information Processing Systems · 2018–2023

A researcher in the Science corpus: 9 papers; trusts 1,228 researchers and is trusted by 205 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 323 citations into it; #2,674 of 21,575 by trust here, #2,076 by citations
• Artificial Intelligence — 167 citations into it
• Aerospace Engineering — 107 citations into it; #2,253 of 6,421 by trust here, #1,543 by citations
• Computational Mechanics — 102 citations into it; #811 of 10,001 by trust here, #321 by citations
• Representation & Self-Supervised Learning — 70 citations into it
• Geology — 54 citations into it; #483 of 687 by trust here, #534 by citations
• Model Architectures — 47 citations into it
• 3D Vision & Pose — 29 citations into it

Whom Yue Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Ross B. Girshick
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Jimmy Ba
10. Karen Simonyan

Who trusts Yue Wang overall

1. Christopher Bongsoo Choy
2. Shengyu Huang
3. Zi Jian Yew
4. Guohao Li
5. Zaiwei Zhang
6. Ishan Misra
7. Junjie Huang
8. Rohit Girdhar
9. Saining Xie
10. Ali Cheraghian

Papers from Yue Wang's perspective

Ordered by how strongly the researchers Yue Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Dynamic Graph CNN for Learning on Point Clouds (2018) — 7,693 citations
• Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? (2020) — 1,074 citations
• DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries (2021) — 1,126 citations
• Deep Closest Point: Learning Representations for Point Cloud Registration (2019) — 1,065 citations
• FUTR3D: A Unified Sensor Fusion Framework for 3D Detection (2022) — 381 citations
• On Feature Decorrelation in Self-Supervised Learning (2021) — 244 citations
• Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving (2023) — 449 citations
• VectorMapNet: End-to-end Vectorized HD Map Learning (2022) — 360 citations
• PRNet: Self-Supervised Learning for Partial-to-Partial Registration (2019) — 466 citations